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A FUZZY MODEL FOR ESTIMATING REMAINING LIFETIME OF A DIESEL ENGINE

FANEGAN, JULIUS BOLUDE
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1188951646

Abstract Details

2007, MS, University of Cincinnati, Engineering : Electrical Engineering.
The research is a novel fuzzy modeling approach built on Sugeno and Yasukawa’s qualitative modeling algorithm; however, it differs in the identification step. More precisely, the current approach applies dimensionality reduction techniques in the identification step. The approach is illustrated on the problem of estimating the remaining lifetime of a diesel engine and it is applied to a real data set. This data set represents a total of nine diesel engine trucks, and for each engine, it consists of 13 sensors recorded in time.
Dr. Anca Ralescu (Advisor)
90 p.
Principal Component Analysis (PCA); Fuzzy Modeling; C-Means Clustering

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Citations

  • FANEGAN, J. B. (2007). A FUZZY MODEL FOR ESTIMATING REMAINING LIFETIME OF A DIESEL ENGINE [Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1188951646

    APA Style (7th edition)

  • FANEGAN, JULIUS. A FUZZY MODEL FOR ESTIMATING REMAINING LIFETIME OF A DIESEL ENGINE. 2007. University of Cincinnati, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1188951646.

    MLA Style (8th edition)

  • FANEGAN, JULIUS. "A FUZZY MODEL FOR ESTIMATING REMAINING LIFETIME OF A DIESEL ENGINE." Master's thesis, University of Cincinnati, 2007. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1188951646

    Chicago Manual of Style (17th edition)

ucin1188951646
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© 2007, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.